It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
CWH’s FA Score shows that 2 FA rating(s) are green whileWINA’s FA Score has 3 green FA rating(s).
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
CWH’s TA Score shows that 9 TA indicator(s) are bullish while WINA’s TA Score has 3 bullish TA indicator(s).
CWH (@Specialty Stores) experienced а -1.53% price change this week, while WINA (@Specialty Stores) price change was +0.16% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +2.50%. For the same industry, the average monthly price growth was +2.01%, and the average quarterly price growth was +3.16%.
CWH is expected to report earnings on Feb 25, 2025.
WINA is expected to report earnings on Feb 26, 2025.
The specialty stores sector includes companies dedicated to the sale of retail products focused on a single product category, such as clothing, carpet, books, or office supplies. A specialty store could face intense competition from big-box departmental chains, and therefore offering an adequate collection of the product type it specializes in is key in maintaining/growing its market.
CWH | WINA | CWH / WINA | |
Capitalization | 1.26B | 1.27B | 99% |
EBITDA | 336M | 55.5M | 605% |
Gain YTD | -7.841 | -1.645 | 477% |
P/E Ratio | 50.82 | 32.99 | 154% |
Revenue | 6.23B | 83.2M | 7,484% |
Total Cash | 39.6M | 13.4M | 296% |
Total Debt | 3.86B | 72.8M | 5,297% |
CWH | WINA | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 19 | 14 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 21 Undervalued | 33 Fair valued | |
PROFIT vs RISK RATING 1..100 | 46 | 11 | |
SMR RATING 1..100 | 94 | 2 | |
PRICE GROWTH RATING 1..100 | 45 | 48 | |
P/E GROWTH RATING 1..100 | 3 | 74 | |
SEASONALITY SCORE 1..100 | 50 | n/a |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
CWH's Valuation (21) in the Specialty Stores industry is in the same range as WINA (33). This means that CWH’s stock grew similarly to WINA’s over the last 12 months.
WINA's Profit vs Risk Rating (11) in the Specialty Stores industry is somewhat better than the same rating for CWH (46). This means that WINA’s stock grew somewhat faster than CWH’s over the last 12 months.
WINA's SMR Rating (2) in the Specialty Stores industry is significantly better than the same rating for CWH (94). This means that WINA’s stock grew significantly faster than CWH’s over the last 12 months.
CWH's Price Growth Rating (45) in the Specialty Stores industry is in the same range as WINA (48). This means that CWH’s stock grew similarly to WINA’s over the last 12 months.
CWH's P/E Growth Rating (3) in the Specialty Stores industry is significantly better than the same rating for WINA (74). This means that CWH’s stock grew significantly faster than WINA’s over the last 12 months.
CWH | WINA | |
---|---|---|
RSI ODDS (%) | 2 days ago86% | 2 days ago62% |
Stochastic ODDS (%) | 2 days ago84% | 2 days ago48% |
Momentum ODDS (%) | 2 days ago80% | 2 days ago69% |
MACD ODDS (%) | 2 days ago70% | 2 days ago55% |
TrendWeek ODDS (%) | 2 days ago81% | 2 days ago68% |
TrendMonth ODDS (%) | 2 days ago81% | 2 days ago68% |
Advances ODDS (%) | 2 days ago82% | 4 days ago70% |
Declines ODDS (%) | 4 days ago83% | 10 days ago53% |
BollingerBands ODDS (%) | 3 days ago90% | 2 days ago50% |
Aroon ODDS (%) | 2 days ago76% | 2 days ago58% |
1 Day | |||
---|---|---|---|
MFs / NAME | Price $ | Chg $ | Chg % |
PSCNX | 16.91 | 0.36 | +2.18% |
Penn Capital Special Sits Sm Cp Eq Inst | |||
EISMX | 45.23 | 0.63 | +1.41% |
Eaton Vance Atlanta Capital SMID-Cap I | |||
MVGCX | 17.96 | 0.13 | +0.73% |
MFS Low Volatility Global Equity C | |||
ARYWX | 13.80 | 0.05 | +0.36% |
American Century Global Real Estate R | |||
PKSFX | 62.06 | N/A | N/A |
Virtus KAR Small-Cap Core I |
A.I.dvisor indicates that over the last year, CWH has been closely correlated with ABG. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is a high statistical probability that if CWH jumps, then ABG could also see price increases.
A.I.dvisor indicates that over the last year, WINA has been loosely correlated with CPRT. These tickers have moved in lockstep 47% of the time. This A.I.-generated data suggests there is some statistical probability that if WINA jumps, then CPRT could also see price increases.
Ticker / NAME | Correlation To WINA | 1D Price Change % | ||
---|---|---|---|---|
WINA | 100% | +1.06% | ||
CPRT - WINA | 47% Loosely correlated | +2.67% | ||
ABG - WINA | 47% Loosely correlated | +3.07% | ||
PAG - WINA | 46% Loosely correlated | +2.34% | ||
AN - WINA | 43% Loosely correlated | +3.15% | ||
CWH - WINA | 43% Loosely correlated | +4.29% | ||
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